Welcome
This website shows real-time data from monitoring programs in Lake Champlain and throughout the Lake Champlain Basin.
All data plots are interactive. Hover over plots to see details on each measurement, or click and drag to zoom in on a section. Additional features can be found at the top right of each plot.
This website is under development. All data is provisional and for educational purposes only.
Valcour buoy
The Valcour monitoring buoy is located in the Main Lake segment, near Valcour Island.
Latest weather conditions, recorded 2021-09-14 09:00:00
Air temperature: 16.4 degrees Celsius (61.5 degrees Fahrenheit)
Wind speed: 2.1 meters per second (4.7 miles per hour)
Wind direction: 24 degrees from North
Relative atmospheric pressure: 102.3 kilopascals (767.1 millimeters of mercury; 30.2 inches of mercury)
Weather conditions from the past 30 days:
valcour_weather_plot <- valcour_weather %>%
filter(!(timestamp == ymd_hms("2021-07-06 03:30:00") &
var == "wind_speed_mps")) %>% # remove erroneous value
mutate(var = var %>%
recode(air_temp_degC = "Air temperature (degrees Celsius)",
wind_speed_mps = "Wind speed (meters per second)",
wind_direction_deg = "Wind direction (degrees from North)",
rel_atm_pressure_kPa = "Relative atmospheric pressure (kilopascals)")) %>%
ggplot() +
geom_line(aes(x = timestamp,
y = value,
color = var)) +
facet_wrap(var ~ .,
scales = "free_y",
ncol = 1,
strip.position = "top") +
scale_color_viridis(discrete = TRUE) +
theme(legend.position = "none",
text = element_text(face = "bold",
size = 14)) +
labs(x = "", y = "")
ggplotly(valcour_weather_plot)Latest water temperature profile, recorded 2021-09-14 09:00:00
latest_valcour_watertemp_plot <- valcour_watertemp %>%
filter(timestamp == latest_timestamp) %>%
ggplot() +
geom_line(aes(x = degC,
y = depth_m),
size = 1.5) +
scale_y_reverse() +
labs(x = "Temperature (deg C)",
y = "Depth below water surface (m)") +
theme(text = element_text(face = "bold",
size = 14))
ggplotly(latest_valcour_watertemp_plot)# Turned off for now.
# enter number of days to look back:
day_window <- 7
timestamp_labeller <- function(x){
as.POSIXct(x, origin = '1970-01-01')
}
last_week_valcour_watertemp_plot <- valcour_watertemp %>%
filter(timestamp > (latest_timestamp - duration(day_window, units = "days"))) %>%
ggplot() +
geom_line(aes(x = degC,
y = depth_m,
color = timestamp,
group = timestamp),
alpha = 0.4,
size = 1) +
scale_y_reverse() +
scale_color_viridis(option = "magma",
direction = -1,
labels = timestamp_labeller) +
labs(x = "Temperature (deg C)",
y = "Depth below water surface (m)")
ggplotly(last_week_valcour_watertemp_plot)Water temperature data from the past 30 days:
valcour_watertemp_plot <- valcour_watertemp %>%
ggplot() +
geom_tile(aes(x = timestamp,
y = depth_m,
fill = degC)) +
scale_fill_viridis("Temperature\n(deg C)",
option = "plasma") +
scale_y_reverse() +
labs(x = "",
y = "Depth below water surface (m)") +
theme(text = element_text(face = "bold",
size = 14))
ggplotly(valcour_watertemp_plot)Lake Champlain level
Lake level data from the past 30 days
Lake level data is shown below for four locations on Lake Champlain. Data is collected by the US Geological Survey.
Turn lake level station layers on and off by clicking them in the legend. To see data from only one lake level station, double-click its name. Double-click again to turn all layers back on.
lake_level_station_info <- "data/lake_level_station_info.csv" %>%
read_csv() %>%
mutate(gage_number = gage_number %>% # Add leading zero to all gage codes
paste0("0", .))
lake_level_day_window <- 30
param_code <- "62614" # Lake water surface elevation above NGVD 1929, feet
# param_code <- "62615" # Lake water surface elevation above NAVD 1988, feet
time_zone <- "America/New_York"
end <- Sys.Date()
start <- end - duration(lake_level_day_window, units = "days")
lake_level <- lake_level_station_info %>%
select(c(station, gage_number)) %>%
mutate(level_data = map(.x = gage_number,
.f = ~readNWISuv(siteNumber = .x,
startDate = start,
endDate = end,
parameterCd = param_code,
tz = time_zone) %>%
rename(timestamp = dateTime,
elevation_ft = X_62614_00000) %>%
select(c(timestamp,
elevation_ft)))) %>%
unnest(level_data)
lake_level_together <- lake_level %>%
mutate(station = station %>%
fct_reorder2(timestamp, elevation_ft)) %>%
ggplot() +
geom_line(aes(x = timestamp,
y = elevation_ft,
color = station),
size = 1,
alpha = 0.5) +
scale_color_viridis("Level station",
discrete = TRUE) +
scale_y_continuous(breaks = pretty_breaks()) +
scale_x_datetime(breaks = pretty_breaks()) +
labs(x = "",
y = "Lake water surface elevation\n(feet above NGVD 1929)") +
theme(axis.text = element_text(face = "bold",
size = 14),
axis.title = element_text(face = "bold",
size = 14),
legend.text = element_text(face = "bold",
size = 10))
ggplotly(lake_level_together) Lake Champlain water temperature
Water temperature data is shown below for three locations on Lake Champlain. Data is collected by the US Geological Survey.
Turn temperature station layers on and off by clicking them in the legend. To see data from only one lake temperature station, double-click its name. Double-click again to turn all layers back on.
lake_temp_station_info <- "data/lake_temp_station_info.csv" %>%
read_csv() %>%
mutate(gage_number = gage_number %>% # Add leading zero to all gage codes
paste0("0", .))
lake_temp_day_window <- 30
param_code <- "00010" # water temperature in degC
# param_code <- "62615" # Lake water surface elevation above NAVD 1988, feet
time_zone <- "America/New_York"
end <- Sys.Date()
start <- end - duration(lake_temp_day_window, units = "days")
lake_temp <- lake_temp_station_info %>%
select(c(station, gage_number)) %>%
mutate(temp_data = map(.x = gage_number,
.f = ~readNWISuv(siteNumber = .x,
startDate = start,
endDate = end,
parameterCd = param_code,
tz = time_zone) %>%
rename(timestamp = dateTime,
water_temp_degC = X_00010_00000) %>%
select(c(timestamp,
water_temp_degC)))) %>%
unnest(temp_data)
lake_temp_together <- lake_temp %>%
mutate(station = station %>%
fct_reorder2(timestamp, water_temp_degC)) %>%
ggplot() +
geom_line(aes(x = timestamp,
y = water_temp_degC,
color = station),
size = 1,
alpha = 0.5) +
scale_color_viridis("Temperature station",
discrete = TRUE) +
scale_y_continuous(breaks = pretty_breaks()) +
scale_x_datetime(breaks = pretty_breaks()) +
labs(x = "",
y = "Lake water temperature\n(Degrees C)") +
theme(axis.text = element_text(face = "bold",
size = 14),
axis.title = element_text(face = "bold",
size = 14),
legend.text = element_text(face = "bold",
size = 10))
ggplotly(lake_temp_together) Lake Champlain tributaries
Tributary discharge data from the past 30 days
Discharge (volume of water per time) data is shown below for 19 major tributaries of Lake Champlain. Data is collected by the US Geological Survey.
Turn tributary layers on and off by clicking them in the legend. To see data from only one tributary, double-click its name. Double-click again to turn all layers back on.
trib_station_info <- "data/trib_station_info.csv" %>%
read_csv() %>%
mutate(gage_number = gage_number %>% # Add leading zero to all gage codes
paste0("0", .))
trib_day_window <- 30
param_code <- "00060" # discharge in cfs
time_zone <- "America/New_York"
end <- Sys.Date()
start <- end - duration(trib_day_window, units = "days")
tribq <- trib_station_info %>%
select(c(trib, gage_number)) %>%
mutate(qdata = map(.x = gage_number,
.f = ~readNWISuv(siteNumber = .x,
startDate = start,
endDate = end,
parameterCd = param_code,
tz = time_zone) %>%
rename(timestamp = dateTime,
discharge_cfs = X_00060_00000) %>%
mutate(discharge_cms = discharge_cfs * 0.0283168) %>%
select(c(timestamp,
discharge_cms)))) %>%
unnest(qdata) %>%
filter(!(timestamp == ymd_hms("2021-09-01 05:30:00", tz = "EDT") &
trib == "Mettawee")) # remove erroneous value
tribq_together <- tribq %>%
mutate(trib = trib %>%
fct_reorder2(timestamp, discharge_cms)) %>%
ggplot() +
geom_line(aes(x = timestamp,
y = discharge_cms,
color = trib),
size = 1,
alpha = 0.5) +
scale_color_viridis("Tributary",
discrete = TRUE) +
labs(x = "",
y = "Discharge (cubic meters per second)") +
theme(axis.text = element_text(face = "bold",
size = 14),
axis.title = element_text(face = "bold",
size = 14),
legend.text = element_text(face = "bold",
size = 10))
ggplotly(tribq_together)# Sum discharges together by timestamp
combined_q <- tribq %>%
select(!c(trib, gage_number)) %>%
group_by(timestamp) %>%
summarise(total_discharge_cms = sum(discharge_cms),
n = n()) %>%
filter(!n < max(n)) # remove timestamps that don't include all tribs
n_combined_tribs <- combined_q %>%
pull("n") %>%
max()Total measured discharge from the past 30 days
The plot below shows the total measured discharge (volume of water per time) delivered to Lake Champlain from the 19 tributaries listed above. Note that there are tributaries and direct-to-lake sources of water that are not monitored and/or not included in this plot.
combined_q_plot <- combined_q %>%
ggplot() +
geom_line(aes(x = timestamp, y = total_discharge_cms)) +
labs(x = "",
y = paste("Total measured discharge\n(cubic meters per second)")) +
theme(axis.text = element_text(face = "bold",
size = 14),
axis.title = element_text(face = "bold",
size = 12),
legend.text = element_text(face = "bold",
size = 10))
ggplotly(combined_q_plot)More information
Lake Champlain monitoring buoys are supported by the Lake Champlain Basin Program, in partnership with New York and Vermont Departments of Environmental Conservation and SUNY Plattsburgh.
Two additional buoys will be deployed in Lake Champlain and added to this website in 2022.
This website was developed by Matthew Vaughan, Technical Coordinator at the Lake Champlain Basin Program. Please contact Matthew for more information.
